Two tools with clear, detailed descriptions (194 - 250 chars each) and explicit input schemas. Tool names follow verb_noun pattern (exchange_rates, exchange_rates_history). However, critical gaps: exchange_rates has NO input parameters despite being a tool (empty properties object), limiting composability. exchange_rates_history parameters lack type constraints (period should be enum, year should have min/max bounds). No output schemas documented, LLMs cannot predict response structure for downstream chaining. No error handling guidance (what if BNR feed is unavailable? What if year is invalid?). Descriptions are good but lack dependency hints and recovery paths. Overall: solid naming and descriptions, but incomplete schemas and missing error guidance.

• Add enum constraint to exchange_rates_history 'period' parameter: {"type": "string", "enum": ["10days"], "description": "..."} to prevent invalid values.
• Add min/max bounds to exchange_rates_history 'year' parameter: {"type": "integer", "minimum": 1990, "maximum": 2100, "description": "Calendar year (1990 - 2100), e.g. 2024. Returns full-year file."} to guide LLM input.
• Document output schema in tool descriptions. E.g., 'Returns {source, base_currency, date, rates: [{currency, value, multiplier}]}' so LLMs know what fields to expect.
• Add error handling guidance: 'If BNR feed is unavailable, try again in 5 minutes. If year is invalid, pass a year between 1990 and 2100.' This guides agent recovery.
• Consider adding optional parameters to exchange_rates (e.g., currencies: string[] to filter results, or date: string to fetch historical single-day rates) to increase composability.